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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM44837

Cab Management System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM44837

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM44837

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

ARD

A. Rutuja Deshmukh1

BPJ

B. Payal Jadhao

CSF

C. Sonal Fatkar

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Abstract

This system enhances driving safety by providing early detection of both drunk driving and accidents. Drunk driving is a major reason for road accidents around the world. Many people still drive after alcohol consumption endangers the lives of both the drinker and others. To solve this problem, the system alcohol detection sensors are used to assess driver sobriety. Detection of alcohol triggers a notification. A vehicle tracking system using GPS and GSM modules immediately informs the owner of the vehicle’s location. A car’s immobilizer system either prevents the vehicle from starting or safely brings it to a halt. Apart from alcohol detection, the system can also detect accidents. Leveraging sensors, GPS, GSM, and IoT technology, the system enables to find out if a crash has happened. Upon triggering, the device immediately sends a message with its location coordinates and status of the vehicle. This facilitates rapid assistance and life preservation. The main goal of the project is to promote safe driving and reduce accidents by using technology to monitor drivers and respond quickly to emergencies.

KEYWORDS

Alcohol sensor Accident prevention GSM module GPS tracking.

Cite This Article

A. Rutuja Deshmukh1, B. Payal Jadhao, C. Sonal Fatkar, "Cab Management System," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/IJSREM44837

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Publication Date

4/22/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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